Methods are provided in which a computing device obtains, from one or more disparate data sources, inventory data of a plurality of network resources in a plurality of domains of an enterprise network. The inventory data includes configuration information of the enterprise network. The method further includes the computing device selecting one or more contextual insights that apply to the inventory data of the enterprise network from contextual information related to one or more networks and configuration of the one or more networks and generating one or more contextual guides specific to one or more affected network resources of the enterprise network based on the one or more contextual insights.

Embodiments of the invention are directed to systems, methods, and computer program products for dynamic linking of resource data structures across distributed networks. The system is structured for enhancing data security by evaluating and determining iterations of data transformations associated with resource data structures across networks and establishing deletion and usage modification mechanisms for stored unauthorized downstream iterations. The system is structured to link a first front end resource data structure and a downstream transformation comprising a first entity resource data structure. The system is structured to construct a real-time interactive technology resource interface such that the technology resource interface is structured to present graphical interface objects associated with the link between the first front end resource data structure and the first entity resource data structure.

An LCS resource device access control and management system having a resource system including an orchestrator device coupled to a resource management system and resource devices. The orchestrator device receives an identification from the resource management system of the resource devices for providing an LCS, and Service Level Agreement (SLA) information defining an SLA for the LCS. The orchestrator device uses the SLA information for the LCS to monitor each of the resource devices during their providing of the LCS and, in response, identifies a first resource device that is performing first resource device functionality that is not satisfying the SLA for the LCS. In response, the orchestrator device provides the LCS using a second resource device that performs second resource device functionality that satisfies the SLA for the LCS in place of the first resource device.

Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment. The event can be a threshold or a triggering event within or outside of the local environment.

The present disclosure relates to devices, methods, and computer-readable medium for providing recommendations for alternate resources to use for cloud services. The devices, methods, and computer-readable medium may receive a resource allocation request for a new resource of a computing system and may predict an occurrence of a capacity related allocation for the resource allocation request. The devices, methods, and computer-readable medium may identify alternate resources to use for the resource allocation request and may provide recommendations with the alternate resources.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment. The event can be a threshold or a triggering event within or outside of the local environment.

Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment. The event can be a threshold or a triggering event within or outside of the local environment.

Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment. The event can be a threshold or a triggering event within or outside of the local environment.

Apparatus and methods for optimizing bandwidth utilization and services in a data network infrastructure. In one embodiment, the data network is a managed Hybrid Fiber Coaxial (HFC) cable network, and the network infrastructure is configured to enable dynamic allocate of frequency bands to individual consumer premises device (e.g., DOCSIS-compliant cable modems). In one variant, the improved network infrastructure enables creation of virtual Service Groups (vSGs), and allocation of individual ones of the CM to such vSGs, to some degree irrespective of topological or “hardwired” location within the network. The allocations can be dynamic, and based on factors such as load balancing, evacuation of portions of the physical network topology (such as to support infrastructure upgrades or replacement), or for yet other reasons such as relating to subscriber tier or service level agreement (SLA).